Chieh-Hsin Lai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Novelty Detection

Diffusion Models

Variational Bayes

Top Venues

Publications

Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji
SoundCTM: Uniting Score-based and Consistency Models for Text-to-Sound Generation. CoRR (2024)
Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping. CoRR (2024)
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher. CoRR (2024)
Carlos Hernandez-Olivan, Koichi Saito, Naoki Murata, Chieh-Hsin Lai, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji
VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance. ICASSP (2024)
Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji
On the Language Encoder of Contrastive Cross-modal Models. ACL (Findings) (2024)
Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
Manifold Preserving Guided Diffusion. ICLR (2024)
Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. CoRR (2024)
Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. Trans. Mach. Learn. Res. 2024 (2024)
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. ICLR (2024)
Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer. ICLR (2024)
Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji
Understanding Multimodal Contrastive Learning Through Pointwise Mutual Information. CoRR (2024)
Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji
The Sound Demixing Challenge 2023 - Music Demixing Track. Trans. Int. Soc. Music. Inf. Retr. 7 (1) (2024)
Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration. ICML (2023)
Yuhta Takida, Masaaki Imaizumi, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji
Adversarially Slicing Generative Networks: Discriminator Slices Feature for One-Dimensional Optimal Transport. CoRR (2023)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. AISTATS (2023)
Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration. CoRR (2023)
Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon
Manifold Preserving Guided Diffusion. CoRR (2023)
Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji
Unsupervised Vocal Dereverberation with Diffusion-Based Generative Models. ICASSP (2023)
Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji
The Sound Demixing Challenge 2023 - Music Demixing Track. CoRR (2023)
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion. CoRR (2023)
Carlos Hernandez-Olivan, Koichi Saito, Naoki Murata, Chieh-Hsin Lai, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji
VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance. CoRR (2023)
Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation. ICML (2023)
Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji, Stefano Ermon
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization. CoRR (2023)
Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji
On the Language Encoder of Contrastive Cross-modal Models. CoRR (2023)
Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. ICML (2022)
Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
Regularizing Score-based Models with Score Fokker-Planck Equations. CoRR (2022)
Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji
Unsupervised vocal dereverberation with diffusion-based generative models. CoRR (2022)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Robust Vector Quantized-Variational Autoencoder. CoRR (2022)
Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. CoRR (2022)
Yuhta Takida, Wei-Hsiang Liao, Chieh-Hsin Lai, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji
Preventing oversmoothing in VAE via generalized variance parameterization. Neurocomputing 509 (2022)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Novelty Detection via Robust Variational Autoencoding. CoRR (2020)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. ICLR (2020)
Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun
Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR (2020)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. CoRR (2019)